LEADER 04075nam  22007815  450 
001 9910483796903321
005 20230802131552.0
010   $a981-15-0474-1
024 7 $a10.1007/978-981-15-0474-7
035   $a(CKB)4940000000149982
035   $a(MiAaPQ)EBC5989315
035   $a(DE-He213)978-981-15-0474-7
035   $a(PPN)243764693
035   $a(EXLCZ)994940000000149982
100   $a20191203d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) /$fedited by Rui Wang, Zengqiang Chen, Weicun Zhang, Quanmin Zhu
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (1,340 pages)
225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v582
300   $aIncludes index.
311   $a981-15-0473-3 
327   $aSystem Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.
330   $aThis book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book a valuable asset for researchers, engineers, and university students alike. .
410  0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v582
606   $aControl engineering
606   $aComputational intelligence
606   $aRobotics
606   $aAutomation
606   $aArtificial intelligence
606   $aSystem theory
606   $aElectric power production
606   $aControl and Systems Theory
606   $aComputational Intelligence
606   $aControl, Robotics, Automation
606   $aArtificial Intelligence
606   $aComplex Systems
606   $aElectrical Power Engineering
615  0$aControl engineering.
615  0$aComputational intelligence.
615  0$aRobotics.
615  0$aAutomation.
615  0$aArtificial intelligence.
615  0$aSystem theory.
615  0$aElectric power production.
615 14$aControl and Systems Theory.
615 24$aComputational Intelligence.
615 24$aControl, Robotics, Automation.
615 24$aArtificial Intelligence.
615 24$aComplex Systems.
615 24$aElectrical Power Engineering.
676   $a001
702   $aWang$b Rui$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aChen$b Zengqiang$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZhang$b Weicun$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZhu$b Quanmin$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483796903321
996   $aProceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)$92853665
997   $aUNINA